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Customer Intelligence
Simone Bervig 0
As estratégias vencedoras dos líderes de experiência do cliente

Em anos recentes e especialmente depois da aceleração no e-commerce ocasionada pela Covid-19, evoluir abordagens em experiência do cliente (CX) se tornou prioritário para organizações de sucesso. A IDC prevê que investimentos globais em tecnologias nesta frente, que permitem geração de insights em tempo real e marketing personalizado, devem chegar

Advanced Analytics | Fraud & Security Intelligence
Alejandro Villar 0
La analítica como solución para el fraude financiero

La analítica de datos es conocida porque permite detectar patrones y comportamientos para predecir situaciones. Gracias a ella, las instituciones tienen la capacidad de anticiparse a las necesidades de los ciudadanos y poder tomar decisiones. Otra de las aplicaciones que tiene para, por ejemplo, las marcas, es poder recomendar productos

Advanced Analytics | Analytics | Cloud
Charlie Chase 0
6 advantages of using software as a service for demand planning

Getting demand right – or getting it wrong – can have a significant impact on customer perceptions of your brand, particularly in this age of instant gratification. The need for agile, accurate demand planning has never been greater. Predicting forward-looking demand signals and shifting consumer demand patterns to recommend balanced, profitable commercial

Fraud & Security Intelligence
Stephane Goddé 0
Reducing tax evasion and fraud: the importance of cooperation

It is often said that cooperation is key to addressing big, intractable problems. The European Union recently highlighted this with amendments to the Administrative Tax Cooperation Directive. These amendments are designed to improve cooperation between tax authorities on administrative tax and reduce tax evasion and tax fraud.[1] Increasing information exchange

Advanced Analytics | Analytics | Data Management
Estelle Wang 0
Find duplicates and near-duplicates in a corpus with Natural Language Processing

To find exact duplicates, matching all string pairs is the simplest approach, but it is not a very efficient or sufficient technique. Using the MD5 or SHA-1 hash algorithms can get us a correct outcome with a faster speed, yet near-duplicates would still not be on the radar. Text similarity is useful for finding files that look alike. There are various approaches to this and each of them has its own way to define documents that are considered duplicates. Furthermore, the definition of duplicate documents has implications for the type of processing and the results produced. Below are some of the options. Using SAS Visual Text Analytics, you can customize and accomplish this task during your corpus analysis journey either with Python SWAT package or with PROC SQL in SAS.

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